Karpathy gave us the foundation. Rohitg00 warned us what breaks. V3 is how you structure it to scale.
This is a concept document in the same spirit as V1 and V2.
V1 was intentionally vague. Build on it. V2 was intentionally open. Solve it.
Production-ready PowerShell patcher for Stremio on Windows.
It auto-detects stock server.js installs, creates timestamped backups, fixes broken built-in player definitions, and adds a larger external player pack without requiring manual edits.
Do not double-click the .ps1 file directly.
Este espacio acompaΓ±a las masterclasses de Otra perspectiva de la programaciΓ³n.
AquΓ encontrarΓ‘s recursos, herramientas, videos, libros y materiales que pueden ayudarte a complementar lo aprendido durante el programa y a explorar diferentes Γ‘reas del desarrollo de software.
Este no es un temario adicional ni sustituye los contenidos del programa. La idea es explorar la programaciΓ³n desde otros Γ‘ngulos: resolver problemas, conectar conceptos, conocer herramientas y descubrir hacia dΓ³nde puedes seguir aprendiendo.
Nota: Este espacio estarΓ‘ en constante actualizaciΓ³n.
Search Everything is a fast, powerful, and effective search tool for Windows.
This cheatsheet acts as a quick start reference to get more out of Search Everything.
It compliments the official documentation.
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| # This script must be run as Administrator to update some shortcut paths. Checking it first... | |
| $IsAdmin = ([Security.Principal.WindowsPrincipal] [Security.Principal.WindowsIdentity]::GetCurrent()).IsInRole( | |
| [Security.Principal.WindowsBuiltInRole]::Administrator | |
| ) | |
| if (-not $IsAdmin) { | |
| Write-Host "Not running as Administrator. Some shortcuts may fail to update." -ForegroundColor Yellow | |
| Write-Host "" | |
| } | |
| # This is your Edge path, it should be installed here (if you're on Stable channel). |
A Claude Code Agent Skill built from Dex Horthy's (HumanLayer) playbook on David Ondrej's podcast.
"Once the model has written thousands of lines of code, it is harder to change. The sessions that generate design docs are context-light β you get the most model intelligence when you do the hard thinking early."
By default, agents build horizontally: all the backend, then all the frontend, then a 2,000-line diff lands in your lap and reviewing it is your problem. This skill flips that. Every decision that matters gets made before the code exists β where changing your mind costs a sentence, not a rewrite.
| local module = {} | |
| --MCR, Jan 2025 | |
| --Will return an editImage, the old size, and the new size if required | |
| --eg: a 100x100 image with a 4 stroke will come back as 110x110 -> stroke * 2 + 2 | |
| --Also doesnt check for upper image size | |
| -- NO LONGER SLOW! optimized by Pyseph :-) | |
| function module:MakeStrokeImageFromAssetIdAsync(assetId : number, strokeSize : number) : EditableImage? | |
| strokeSize = math.clamp(strokeSize, 1, 16) |
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |